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Guang'an
City in Sichuan, China
Overview
Guang'an, set in Sichuan Province, is renowned as the birthplace of Deng Xiaoping. The city combines historic charm, rapidly modernizing districts, and scenic nature escapes, offering a unique blend of urban and rural China.
Geographic Context
Jurisdiction
China
Province
Sichuan
Population
3,254,883
Time Zone
Asia/Shanghai
Coordinates
30.46°, 106.63°
Key Metrics
Safety Score · estimate
65
Female Safety
62
LGBTQ+ Safety
35
Traffic Safety
48
Food Safety
68
Monthly Cost · estimate
$678
Local Cost
$283
Local Income
$640
Cashless
90
English
20
Temperature
16.9°C
Summer Avg
26.3°C
Winter Avg
6.6°C
Record High
40.9°C
Record Low
-6.0°C
Humidity
77%
Precipitation
1157 mm
Internet Speed
143 Mbps
Upload
87 Mbps
Latency
24 ms
City Vibrancy
9
Coworking
0
Cafes
0
Nightlife
0
Parks
9
Explore
Neighborhoods
Mapped10 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 10 neighborhoodsData sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-05.
Overture Maps and OpenStreetMap - 10 source-backed neighborhood entities are available for this city. Record updated 2026-03-21.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 57/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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